RSNA Pnumonia Exploratory Data Analysis(EDA)

Resource:

  1. Data
  2. RSNA Pneumonia Detection EDA
  3. Exploratory Data Analysis
  4. Intro EDA with DICOM Metadata

Data preparation

load data

data description

  1. In class detailed info dataset are given the detailed information about the type of positive or negative class associated with a certain patient.
  2. In train labels dataset are given the patient ID and the window (x min, y min, width and height of the) containing evidence of pneumonia.
  3. What should I expect the data format to be?
    • The training data is provided as a set of patientIds and bounding boxes. Bounding boxes are defined as follows: x-min y-min width height
    • There is also a binary target column, Target, indicating pneumonia or non-pneumonia.
    • There may be multiple rows per patientId.

data format

merge dataframe

Check missing data

It has been done by RSNA Pneumonia Detection EDA, so I skip this step.

Meta data preparation

Exploratory data

Exploratory meta data

Exploratory tabular data

Display image data

Exploratory image data has been done on mask-rcnn-pneumonua-data.ipynb